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Fix nits #74

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Fix nits #74

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4 changes: 2 additions & 2 deletions examples/03_logistic_regression_mnist_sol.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@

# Step 1: Read in data
# using TF Learn's built in function to load MNIST data to the folder data/mnist
mnist = input_data.read_data_sets('/data/mnist', one_hot=True)
mnist = input_data.read_data_sets('./data/mnist', one_hot=True)

# Step 2: create placeholders for features and labels
# each image in the MNIST data is of shape 28*28 = 784
Expand Down Expand Up @@ -83,7 +83,7 @@

for i in range(n_batches):
X_batch, Y_batch = mnist.test.next_batch(batch_size)
accuracy_batch = sess.run([accuracy], feed_dict={X: X_batch, Y:Y_batch})
accuracy_batch = sess.run(accuracy, feed_dict={X: X_batch, Y:Y_batch})
total_correct_preds += accuracy_batch

print('Accuracy {0}'.format(total_correct_preds/mnist.test.num_examples))
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